{"id":"W4386097523","doi":"10.3390/medicina59091513","title":"Establishing a Gold Standard for Quantitative Menstrual Cycle Monitoring","year":2023,"lang":"en","type":"article","venue":"Medicina","topic":"Ovarian function and disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"University of British Columbia","keywords":"Ovulation; Menstrual cycle; Luteinizing hormone; Hormone; Polycystic ovary; Physiology; Urine; Medicine; Pregnanediol; Estrone; Endocrinology; Internal medicine; Gynecology; Insulin resistance; Obesity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04701056,0.0008458162,0.001515606,0.003765267,0.001244044,0.003314279,0.002919211,0.00269691,0.002578075],"category_scores_gemma":[0.06034584,0.0005953092,0.0009998769,0.002100686,0.001491664,0.001592557,0.002597101,0.001981691,0.002284906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388201,"about_ca_system_score_gemma":0.002172933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792283,"about_ca_topic_score_gemma":0.002875384,"domain_scores_codex":[0.9506742,0.01987194,0.005104563,0.004681125,0.01863647,0.001031759],"domain_scores_gemma":[0.951074,0.01342849,0.004362819,0.005397162,0.02471025,0.001027168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001657785,0.0007530354,0.4897561,0.002882017,0.0005076638,0.0002199204,0.002377638,0.002580868,0.02641324,0.01439659,0.05032964,0.4081254],"study_design_scores_gemma":[0.0004790473,0.004388484,0.6211111,0.005398352,0.0006901256,0.002195765,0.003737625,0.03732672,0.06359177,0.01603583,0.2446322,0.0004129146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.289881,0.03312805,0.5466645,0.0132113,0.008056898,0.01058337,0.0111932,0.004515084,0.08276655],"genre_scores_gemma":[0.5417029,0.004340058,0.4225952,0.004869728,0.001288048,0.008381844,0.008274434,0.0005335988,0.008014122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04701056,"threshold_uncertainty_score":0.2486185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645494723135338,"score_gpt":0.3439099921519599,"score_spread":0.2974550449206066,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}